Ika Murti Kristiyani
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Kemampuan Pemecahan Masalah Mahasiswa Pada Materi Matematika Optimasi Ika Murti Kristiyani
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2024): Jurnal Derivat (Agustus 2024)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v10i2.6858

Abstract

In mathematics education, problem-solving is a core element that involves stages for analyzing the problem, planning a solution, applying strategies, and reviewing the results. In the Industrial Engineering Study Program, the ability to problem-solve in optimization mathematics plays a crucial role. This ability can be used as a foundation for minimizing costs, designing production processes, and more. The aim of this research is to determine students' problem-solving abilities in solving problems related to multivariable optimization mathematics analytically without constraints. This study is a descriptive qualitative research and was conducted with six students as research subjects. The instruments used include test questions and interview guidelines. The results show that subjects with low problem-solving abilities tend to only perform two problem-solving stages: understanding the problem and planning the solution. However, they do not execute the plan smoothly and fail to review it. Subjects in the moderate category perform three problem-solving stages, including understanding the problem, choosing a solution strategy, and implementing the plan. Subjects in this category often lack precision in calculations and miss the step of reviewing their answers. Subjects with high problem-solving abilities effectively perform all four problem-solving stages: understanding the problem, creating a solution plan, executing the plan, and reviewing the steps until the final result.  Keyword: Problem-Solving, Optimization Mathematics, Multivariable Function, Analytically
Kemampuan Pemecahan Masalah Mahasiswa Pada Materi Matematika Optimasi Ika Murti Kristiyani
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2024): Jurnal Derivat (Agustus 2024)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v10i2.6858

Abstract

In mathematics education, problem-solving is a core element that involves stages for analyzing the problem, planning a solution, applying strategies, and reviewing the results. In the Industrial Engineering Study Program, the ability to problem-solve in optimization mathematics plays a crucial role. This ability can be used as a foundation for minimizing costs, designing production processes, and more. The aim of this research is to determine students' problem-solving abilities in solving problems related to multivariable optimization mathematics analytically without constraints. This study is a descriptive qualitative research and was conducted with six students as research subjects. The instruments used include test questions and interview guidelines. The results show that subjects with low problem-solving abilities tend to only perform two problem-solving stages: understanding the problem and planning the solution. However, they do not execute the plan smoothly and fail to review it. Subjects in the moderate category perform three problem-solving stages, including understanding the problem, choosing a solution strategy, and implementing the plan. Subjects in this category often lack precision in calculations and miss the step of reviewing their answers. Subjects with high problem-solving abilities effectively perform all four problem-solving stages: understanding the problem, creating a solution plan, executing the plan, and reviewing the steps until the final result.  Keyword: Problem-Solving, Optimization Mathematics, Multivariable Function, Analytically